{"id":"W4220790679","doi":"10.4095/329856","title":"NRCan'S CCMEO introduces FAIR+: making scientific data easier to find and access to benefit all communities","year":2022,"lang":"en","type":"report","venue":"","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Computer science; Data science; Internet privacy; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0418959,0.00147509,0.001145282,0.004843501,0.004117411,0.01740355,0.004797892,0.005060829,0.1356019],"category_scores_gemma":[0.06920425,0.001526253,0.001224391,0.005020585,0.003338425,0.01046169,0.007586732,0.005247369,0.07453168],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00774239,"about_ca_system_score_gemma":0.03661239,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07200736,"about_ca_topic_score_gemma":0.1188386,"domain_scores_codex":[0.9620636,0.006482064,0.0009269636,0.002044163,0.02542825,0.003054871],"domain_scores_gemma":[0.9155774,0.01593025,0.002479811,0.01814806,0.02978111,0.01808347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006159941,0.000112988,0.0004536276,0.00007146148,0.000006840634,0.00002807689,0.0000841205,0.000121142,0.0005527166,0.01630494,0.9537687,0.02843383],"study_design_scores_gemma":[0.00003478158,0.00002483671,0.00047076,0.00002844408,0.000004882655,0.00003834485,0.00005974836,0.0004129988,0.001022266,0.003787258,0.9940941,0.00002165993],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002779875,0.001060601,0.07771391,0.09333569,0.01839601,0.003186647,0.04473907,0.07522934,0.6835588],"genre_scores_gemma":[0.01155227,0.001307016,0.125436,0.01630535,0.002680886,0.001524926,0.04422063,0.02079899,0.7761739],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9952021,"threshold_uncertainty_score":0.4536335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5219818970555784,"score_gpt":0.4907216892673285,"score_spread":0.03126020778824989,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}